Evidence map›Paper›PMID 42441204›Full record

ArticleJournal of biomedical optics2026

Multimodal imaging platform for rapid non-destructive evaluation of pancreatic puncture specimens.

Jianan Zhang, Qing Zhang, Jiansheng Wang, Chunhua Zhou, Lili Gao, Zhen Sun, Yan Wang, Duowu Zou, Qingli Li

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jianan ZhangEast China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China.
Qing ZhangEast China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China.
Jiansheng WangEast China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China.
Chunhua ZhouRuijin Hospital, Shanghai Jiao Tong University, School of Medicine, Department of Gastroenterology, Shanghai, China.
Lili GaoRuijin Hospital, Shanghai Jiao Tong University, School of Medicine, Department of Pathology, Shanghai, China.
Zhen SunFour Districts for Convalescence of Air Force Hangzhou Special Service Recuperation Center, Jiangsu, China.
Yan WangEast China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China.
Duowu ZouRuijin Hospital, Shanghai Jiao Tong University, School of Medicine, Department of Gastroenterology, Shanghai, China.
Qingli LiEast China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China.ORCID https://orcid.org/0000-0001-5063-8801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Destructive staining and slow subjective visual inspection remain major limitations in rapid evaluation of biopsy specimens during endoscopic ultrasound-guided fine needle biopsy. Therefore, there is a strong need for a label-free optical imaging approach that enables quantitative specimen assessment while preserving specimen integrity. Aim: A multimodal imaging system integrating hyperspectral and color imaging was developed to acquire images of biopsy specimens without staining or sample preparation. Approach: A hyperspectral on-site evaluation workflow was proposed, integrating hyperspectral imaging and color imaging within a modular platform. Hyperspectral data were analyzed using a support-vector-machine-based segmentation framework for specimen assessment with color images providing reference annotations. No washing or staining is required. Results: Validation on 220 pancreatic biopsy specimens demonstrates accurate non-destructive macroscopic visible core evaluation, achieving an Conclusions: We demonstrate that integrating hyperspectral imaging with computational analysis enables rapid, quantitative, and label-free specimen evaluation, highlighting the potential of biomedical optical systems for intra-procedural specimen assessment.

Indexed as

Endoscopic Ultrasound-Guided Fine Needle AspirationHyperspectral ImagingImage Processing, Computer-AssistedMultimodal ImagingOptical ImagingPancreasHumansSupport Vector Machineendoscopic ultrasound-guided fine needle biopsyhyperspectral imagingmacroscopic on-site evaluationmacroscopic visible core adequacy evaluationrapid on-site evaluationsupport vector machine

Identifiers

PMID42441204
PMCPMC13336349

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.